Relational Data Base Systems INQ and RIOS. - Kazuyuki Hara; Tatsuo Gotoh; Tsuyoshi Miyazaki 001; Ken Takeuchi; Shigeru Mabuchi (IEEE Database Eng. Bull., 1983)

Signal classification based on frequency analysis using multilayer neural network with limited data and computation. - Kazuyuki Hara; Kenji Nakayama (ICNN, 1995)

Selection of minimum training data for generalization and online training by multilayer neural networks. - Kazuyuki Hara; Kenji Nakayama (ICNN, 1996)

A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence. - Ashraf A. M. Khalaf; Kenji Nakayama; Kazuyuki Hara (ICANN, 1997)

A Training Method with Small Computation for Classification. - Kazuyuki Hara; Kenji Nakayama (IJCNN (3), 2000)

Online learning theory of ensemble learning using linear perceptrons. - Kazuyuki Hara; Masato Okada (IJCNN, 2004)

Analysis of ensemble learning using simple perceptrons based on online learning theory. - Seiji Miyoshi; Kazuyuki Hara; Masato Okada (IJCNN, 2004)

On-line learning through simple perceptron learning with a margin. - Kazuyuki Hara; Masato Okada (Neural Networks, 2004)

Online learning of a simple perceptron learning with margin. - Kazuyuki Hara; Masato Okada (Syst. Comput. Jpn., 2004)

Analysis of ensemble learning using simple perceptrons based on on-line learning theory. - Seiji Miyoshi; Kazuyuki Hara; Masato Okada (Syst. Comput. Jpn., 2005)

Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction. - Kazuyuki Hara; Seiji Miyoshi; Tatsuya Uezu; Masato Okada (ICONIP (2), 2008)

Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory. - Kazuyuki Hara; Yoichi Nakayama; Seiji Miyoshi; Masato Okada (ICANN (1), 2009)

On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin. - Kazuyuki Hara; Katsuya Ono; Seiji Miyoshi (ICANN (3), 2010)

Ensemble-Teacher Learning through a Perceptron Rule with a Margin. - Kazuyuki Hara; Seiji Miyoshi (ICANN (1), 2011)

Statistical Mechanics of On-line Node-perturbation Learning. - Kazuyuki Hara; Kentaro Katahira; Kazuo Okanoya; Masato Okada (Inf. Media Technol., 2011)

Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning. - Kazuyuki Hara; Kentaro Katahira; Kazuo Okanoya; Masato Okada (ICANN (2), 2012)

Soft Committee Machine Using Simple Derivative Term. - Kazuyuki Hara; Kentaro Katahira (ICAISC (1), 2014)

Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function. - Kazuyuki Hara; Kentaro Katahira (ICANN, 2014)

Theoretical Analysis of Learning Speed in Gradient Descent Algorithm Replacing Derivative with Constant. - Kazuyuki Hara; Kentaro Katahira (Inf. Media Technol., 2014)

Analysis of function of rectified linear unit used in deep learning. - Kazuyuki Hara; Daisuke Saitoh; Hayaru Shouno (IJCNN, 2015)

Mutual Learning Using Nonlinear Perceptron. - Daisuke Saitoh; Kazuyuki Hara (J. Artif. Intell. Soft Comput. Res., 2015)

Analysis of Dropout Learning Regarded as Ensemble Learning. - Kazuyuki Hara; Daisuke Saitoh; Hayaru Shouno (ICANN (2), 2016)

Group Dropout Inspired by Ensemble Learning. - Kazuyuki Hara; Daisuke Saitoh; Takumi Kondou; Satoshi Suzuki; Hayaru Shouno (ICONIP (2), 2016)

Statistical Mechanics of Node-perturbation Learning with Noisy Baseline. - Kazuyuki Hara; Kentaro Katahira; Masato Okada (CoRR, 2017)

Analysis of Dropout in Online Learning. - Kazuyuki Hara (CoRR, 2017)

Performance of Pre-Learned Convolution Neural Networks Applied to Recognition of Overlapping Digits. - Kazuyuki Hara; Daigo Shii; Ryosuke Miyoshi (BigComp, 2020)

A Calculation Model for Estimating Effect of COVID-19 Contact-Confirming Application (COCOA) on Decreasing Infectors. - Yuto Omae; Jun Toyotani; Kazuyuki Hara; Yasuhiro Gon; Hirotaka Takahashi (CoRR, 2020)

Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) Based on Multi-Agent Simulation. - Yuto Omae; Jun Toyotani; Kazuyuki Hara; Yasuhiro Gon; Hirotaka Takahashi (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Theoretical Analysis of the SIRVVD Model for Insights Into the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan. - Yuto Omae; Makoto Sasaki; Jun Toyotani; Kazuyuki Hara; Hirotaka Takahashi (IEEE Access, 2022)

Neural networks for separation of cosmic gamma rays and hadronic cosmic rays in air shower observation with a large area surface detector array. - Sousuke Okukawa; Kazuyuki Hara; Kinya Hibino; Yusaku Katayose; Kazumasa Kawata; Munehiro Ohnishi; Takashi Sako; Takashi K. Sako; Makio Shibata; Atsushi Shiomi; Masato Takita (Mach. Learn. Sci. Technol., 2024)

Cardiomyopathy Diagnosis Model from Endomyocardial Biopsy Specimens: Appropriate Feature Space and Class Boundary in Small Sample Size Data. - Masaya Mori; Yuto Omae; Yutaka Koyama; Kazuyuki Hara; Jun Toyotani; Yasuo Okumura; Hiroyuki Hao (CoRR, 2025)